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Konstantinos E. Parsopoulos

Konstantinos E. Parsopoulos

D-Index & Metrics

Computer Science

D-Index
37
Citations
10520
World Ranking
10486
National Ranking
80

Overview

Konstantinos E. Parsopoulos is affiliated with the University of Ioannina in Greece. Their research focuses primarily on computer science, with significant contributions in engineering and decision sciences. The scientist's work spans key subfields such as artificial intelligence, computer networks and communications, computational theory and mathematics, industrial and manufacturing engineering, and management science and operations research.

The research topics covered by Konstantinos E. Parsopoulos include:

  • Metaheuristic optimization algorithms research
  • Advanced multi-objective optimization algorithms
  • Constraint satisfaction and optimization
  • Data management and algorithms
  • Machine learning and extreme learning machines (ELM)
  • Neural networks and applications
  • Model reduction and neural networks

Notable recent papers authored or co-authored by Konstantinos E. Parsopoulos are:

  • Parallel algorithm portfolios with adaptive resource allocation strategy, 2022, Journal of Global Optimization
  • Reinforcement learning for enhanced online gradient-based parameter adaptation in metaheuristics, 2023, Swarm and Evolutionary Computation
  • Single-objective and multi-objective optimization for variance counterbalancing in stochastic learning, 2023, Applied Soft Computing
  • SOMO-VCB: A Matlab® software for single-objective and multi-objective optimization for variance counterbalancing in stochastic learning, 2023, Software Impacts
  • Probabilistic crowdshipping model for last-mile delivery, 2025, International Journal of Systems Science Operations & Logistics

The venues where Konstantinos E. Parsopoulos frequently publishes include:

  • Journal of Global Optimization
  • Swarm and Evolutionary Computation
  • Applied Soft Computing
  • International Journal of Systems Science Operations & Logistics
  • Software Impacts

The scientist has collaborated frequently with several coauthors, including:

  • Ilias Kotsireas
  • Pãnos M. Pardalos
  • Dimitris Souravlias
  • Vasileios Tatsis
  • Dimitra G. Triantali

Konstantinos E. Parsopoulos has contributed to book publications, notably with Springer Nature, where they authored "Algorithm Portfolios" in 2021.

Best Publications

  • Recent approaches to global optimization problems through Particle Swarm Optimization

    K. E. Parsopoulos;M. N. Vrahatis

  • Particle swarm optimization method in multiobjective problems

    K. E. Parsopoulos;M. N. Vrahatis

  • On the computation of all global minimizers through particle swarm optimization

    K.E. Parsopoulos;M.N. Vrahatis

  • Particle Swarm Optimization and Intelligence: Advances and Applications

    Konstantinos E. Parsopoulos;Michael N. Vrahatis

  • Particle swarm optimization for integer programming

    E.C. Laskari;K.E. Parsopoulos;M.N. Vrahatis

  • UPSO: A Unified Particle Swarm Optimization Scheme

    K.E. Parsopoulos;M.N. Vrahatis

  • Unified particle swarm optimization for solving constrained engineering optimization problems

    K. E. Parsopoulos;M. N. Vrahatis

  • A first study of fuzzy cognitive maps learning using particle swarm optimization

    K.E. Parsopoulos;E.I. Papageorgiou;P.P. Groumpos;M.N. Vrahatis

  • MULTIOBJECTIVE OPTIMIZATION USING PARALLEL VECTOR EVALUATED PARTICLE SWARM OPTIMIZATION

    K.E. Parsopoulos

  • PARTICLE SWARM OPTIMIZER IN NOISY AND CONTINUOUSLY CHANGING ENVIRONMENTS

    K.E. Parsopoulos

  • Fuzzy Cognitive Maps Learning Using Particle Swarm Optimization

    Elpiniki I. Papageorgiou;Konstantinos E. Parsopoulos;Chrysostomos S. Stylios;Petros P. Groumpos

  • Stretching technique for obtaining global minimizers through Particle Swarm Optimization

    K.E. Parsopoulos;V.P. Plagianakos

  • Memetic particle swarm optimization

    Yiannis G. Petalas;Konstantinos E. Parsopoulos;Michael N. Vrahatis

  • Parameter selection and adaptation in Unified Particle Swarm Optimization

    K. E. Parsopoulos;M. N. Vrahatis

  • Modification of the Particle Swarm Optimizer for Locating All the Global Minima

    K. E. Parsopoulos;M. N. Vrahatis

  • Computing Nash equilibria through computational intelligence methods

    N. G. Pavlidis;K. E. Parsopoulos;M. N. Vrahatis

  • Objective function “stretching” to alleviate convergence to local minima

    K.E. Parsopoulos;V.P. Plagianakos;G.D. Magoulas;M.N. Vrahatis

  • Initializing the Particle Swarm Optimizer Using the Nonlinear Simplex Method

    K.E. Parsopoulos

  • Particle swarm optimization for minimax problems

    E.C. Laskari;K.E. Parsopoulos;M.N. Vrahatis

  • Vector evaluated differential evolution for multiobjective optimization

    K.E. Parsopoulos;D.K. Tasoulis;N.G. Pavlidis;V.P. Plagianakos

  • Particle filtering with particle swarm optimization in systems with multiplicative noise

    A. D. Klamargias;K. E. Parsopoulos;Ph. D. Alevizos;M. N. Vrahatis

Frequent Co-Authors

Michael N. Vrahatis
Michael N. Vrahatis University of Patras
Panos M. Pardalos
Panos M. Pardalos University of Florida
Elpiniki I. Papageorgiou
Elpiniki I. Papageorgiou University Of Thessaly
Peter P. Groumpos
Peter P. Groumpos University of Patras
Enrique Alba
Enrique Alba University of Malaga
George D. Magoulas
George D. Magoulas Birkbeck, University of London
Stathis C. Stiros
Stathis C. Stiros University of Patras
Aristidis Likas
Aristidis Likas University of Ioannina
Chrysostomos D. Stylios
Chrysostomos D. Stylios University of Ioannina

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